BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

221 related articles for article (PubMed ID: 28150713)

  • 1. Discovering missing reactions of metabolic networks by using gene co-expression data.
    Hosseini Z; Marashi SA
    Sci Rep; 2017 Feb; 7():41774. PubMed ID: 28150713
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Meneco, a Topology-Based Gap-Filling Tool Applicable to Degraded Genome-Wide Metabolic Networks.
    Prigent S; Frioux C; Dittami SM; Thiele S; Larhlimi A; Collet G; Gutknecht F; Got J; Eveillard D; Bourdon J; Plewniak F; Tonon T; Siegel A
    PLoS Comput Biol; 2017 Jan; 13(1):e1005276. PubMed ID: 28129330
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Flux coupling analysis of metabolic networks is sensitive to missing reactions.
    Marashi SA; Bockmayr A
    Biosystems; 2011 Jan; 103(1):57-66. PubMed ID: 20888889
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Sequence-based Network Completion Reveals the Integrality of Missing Reactions in Metabolic Networks.
    Krumholz EW; Libourel IG
    J Biol Chem; 2015 Jul; 290(31):19197-207. PubMed ID: 26041773
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A computational method using differential gene expression to predict altered metabolism of multicellular organisms.
    Zhu L; Zheng H; Hu X; Xu Y
    Mol Biosyst; 2017 Oct; 13(11):2418-2427. PubMed ID: 28972214
    [TBL] [Abstract][Full Text] [Related]  

  • 6. An algorithm for the reduction of genome-scale metabolic network models to meaningful core models.
    Erdrich P; Steuer R; Klamt S
    BMC Syst Biol; 2015 Aug; 9():48. PubMed ID: 26286864
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Efficiently gap-filling reaction networks.
    Latendresse M
    BMC Bioinformatics; 2014 Jun; 15():225. PubMed ID: 24972703
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Advances in gap-filling genome-scale metabolic models and model-driven experiments lead to novel metabolic discoveries.
    Pan S; Reed JL
    Curr Opin Biotechnol; 2018 Jun; 51():103-108. PubMed ID: 29278837
    [TBL] [Abstract][Full Text] [Related]  

  • 9. On correlated reaction sets and coupled reaction sets in metabolic networks.
    Marashi SA; Hosseini Z
    J Bioinform Comput Biol; 2015 Aug; 13(4):1571003. PubMed ID: 25747383
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FCDECOMP: decomposition of metabolic networks based on flux coupling relations.
    Rezvan A; Marashi SA; Eslahchi C
    J Bioinform Comput Biol; 2014 Oct; 12(5):1450028. PubMed ID: 25362842
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Hierarchical organization of fluxes in Escherichia coli metabolic network: using flux coupling analysis for understanding the physiological properties of metabolic genes.
    Hosseini Z; Marashi SA
    Gene; 2015 May; 561(2):199-208. PubMed ID: 25688882
    [TBL] [Abstract][Full Text] [Related]  

  • 12. On flux coupling analysis of metabolic subsystems.
    Marashi SA; David L; Bockmayr A
    J Theor Biol; 2012 Jun; 302():62-9. PubMed ID: 22406036
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Systematic assignment of thermodynamic constraints in metabolic network models.
    Kümmel A; Panke S; Heinemann M
    BMC Bioinformatics; 2006 Nov; 7():512. PubMed ID: 17123434
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A mixed-integer linear programming approach to the reduction of genome-scale metabolic networks.
    Röhl A; Bockmayr A
    BMC Bioinformatics; 2017 Jan; 18(1):2. PubMed ID: 28049424
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Identification of functional differences in metabolic networks using comparative genomics and constraint-based models.
    Hamilton JJ; Reed JL
    PLoS One; 2012; 7(4):e34670. PubMed ID: 22666308
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Estimating the size of the solution space of metabolic networks.
    Braunstein A; Mulet R; Pagnani A
    BMC Bioinformatics; 2008 May; 9():240. PubMed ID: 18489757
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Adaptive bi-level programming for optimal gene knockouts for targeted overproduction under phenotypic constraints.
    Ren S; Zeng B; Qian X
    BMC Bioinformatics; 2013; 14 Suppl 2(Suppl 2):S17. PubMed ID: 23368729
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gap-filling analysis of the iJO1366 Escherichia coli metabolic network reconstruction for discovery of metabolic functions.
    Orth JD; Palsson B
    BMC Syst Biol; 2012 May; 6():30. PubMed ID: 22548736
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Computational Prediction of Synthetic Lethals in Genome-Scale Metabolic Models Using Fast-SL.
    Raman K; Pratapa A; Mohite O; Balachandran S
    Methods Mol Biol; 2018; 1716():315-336. PubMed ID: 29222760
    [TBL] [Abstract][Full Text] [Related]  

  • 20. MIRAGE: a functional genomics-based approach for metabolic network model reconstruction and its application to cyanobacteria networks.
    Vitkin E; Shlomi T
    Genome Biol; 2012 Nov; 13(11):R111. PubMed ID: 23194418
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 12.